AI Systems Engineering Expert

Description

🤓 TripleTen is an EdTech company that creates and runs tech career programs for the US and Latin America. For more than five years it has taught complete beginners with no tech background through cohort programs on its own platform and curriculum, built with Nebius AI. The team is fully remote and spread worldwide, and it serves a large, active student body in both regions.

TripleTen is launching a program for experienced engineers moving into system architecture jobs, with the curriculum written by a group of senior authors. It now needs someone to make the program real for students: leading live sessions, reviewing work, running architecture review boards, and setting the technical standard for the instructors working alongside.

The role combines teaching and review. You are the senior technical voice the cohort learns from each week, running live sessions and office hours, giving genuine architecture feedback on student work, and handling escalations from supporting instructors who take first-line questions. The ideal person has truly designed and launched systems at scale, holds views on what good architecture is, and can explain to an experienced engineer why a design is flawed, not just whether it works.

Your audience: experienced engineers stepping up into system architecture roles. Many write production code every day and will notice thin feedback at once, so genuine seniority is required, not passing familiarity.

Format: Mostly asynchronous, plus scheduled live sessions. Office hours and live sessions are set around a cohort based in the US. Expect about 15–25 hours a week.

Areas of expertise

Three Experts will be hired, each covering one of the areas below.

Expert A — System Foundations, API & Data

• Module 1 — Foundations of System Engineering (covering OpenTelemetry, distributed systems, and core architecture principles)
• Module 2 — API & Service Architecture (service boundaries, DDD, REST, gRPC, GraphQL)
• Module 3 — Data Architecture & Storage Patterns (covering replication, sharding, relational and NoSQL stores, and Redis caching)

Expert B — Cloud, Distributed Systems

• Module 4 — Cloud Infrastructure & Platform Engineering (covering Terraform, Kubernetes, CI/CD pipelines, GitOps, and FinOps)
• Module 5 — Distributed Systems & Event-Driven Architecture (covering event-driven design, Kafka, the CAP theorem, and alert routing)

Expert C — Security, AI Systems & Architecture Leadership

• Module 6 — Security & Compliance Architecture (threat modeling, zero-trust, secure CI/CD, compliance)
• Module 7 — AI Systems Design & Integration (covering RAG, integrating LLMs, AI governance, and reliable ML)
• Module 8 — Architecture Documentation & Leadership (covering C4 diagrams, architecture decision records, and technical communication)

Say in your application which area suits you best. If your skills span several, apply anyway and note that. Resumes or CVs must be in English.

What you will do

• Guide students one-on-one by video, in Q&A sessions, and at group events, helping them understand concepts and work through assignments.
• Run webinars and workshops covering program subjects, insight from industry, and extra skills.
• Assess student projects and give clear, useful feedback that matches program standards.
• Support students on the Hub with written guidance, regular communication, and selected learning resources.
• Pass on what you know from industry so students gain practical skills and career strategies.
• Create a collaborative learning space that builds confidence, encourages participation, and helps students grow.
• Hold mock interviews and give feedback on both technical answers and interview technique.
• Record teaching videos for the curriculum that explain key concepts, methods, and course topics clearly.

Requirements

• At least 5 years working as a platform engineer, a senior software or systems architect, or a senior backend or infrastructure engineer
• Has built and launched large-scale systems for an actual company, beyond coursework or side projects
• Deep knowledge across core architecture: system design, APIs and services, distributed systems, and cloud infrastructure (Terraform, Kubernetes, AWS, CI/CD)
• Can explain the reasoning behind a decision, not just how it was built, and can assess and critique another person's architecture live
• Strong technical communicator: at ease running a live session and writing precise, clear review comments
• English at C1+; all teaching and reviews happen in English for American students
• Uses AI tools comfortably in daily technical work

What we can offer you

• Payments by milestone, linked to deliverables
• Fully remote; hours are flexible
• A digital workplace with current tools (Notion, Miro, Slack, Figma) for smooth collaboration
• Trust and autonomy, with no micromanagement
• Real impact: success is measured by graduates getting tech jobs
• Be part of a varied, international, close-knit team that is eager to work with you

Application process

Submit your application through NorthStar. Employer screening may follow after submission.